ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2007
MRI in multiple sclerosis: what's inside the toolbox?
Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 89 citations in OpenAlex.
- The treatment of multiple sclerosis with inosine.Journal of alternative and complementary medicine (New York, N.Y.) · 2009Trial
- Conventional and Advanced Magnetic Resonance Imaging Biomarkers of Multiple Sclerosis in the Brain.Cureus · 2025Review
- Evolution of acute "black hole" lesions in patients with relapsing-remitting multiple sclerosis.Acta neurologica Belgica · 2023Observational
- The Value of Various Post-Processing Modalities of Diffusion Weighted Imaging in the Detection of Multiple Sclerosis.Brain sciences · 2023Review
- A brief review of non-invasive brain imaging technologies and the near-infrared optical bioimaging.Applied microscopy · 2021Review
- Widespread Disruptions of White Matter in Familial Multiple Sclerosis: DTI and NODDI Study.Frontiers in neurology · 2021Article
- Degree of microstructural changes within T1-SE versus T1-GE hypointense lesions in multiple sclerosis: relevance for the definition of "black holes".European radiology · 2020Article
- A Novel Classification Method using Effective Neural Network and Quantitative Magnetization Transfer Imaging of Brain White Matter in Relapsing Remitting Multiple Sclerosis.Journal of biomedical physics & engineering · 2018Article
- Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis.Brain and behavior · 2018Article
- A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation.Medical & biological engineering & computing · 2018Article
- Magnetic Resonance Imaging in Multiple Sclerosis.Cold Spring Harbor perspectives in medicine · 2018Review
- Treatment of multiple sclerosis relapses with high-dose methylprednisolone reduces the evolution of contrast-enhancing lesions into persistent black holes.Journal of neurology · 2018Article
- Dilated perivascular spaces and fatigue: is there a link? Magnetic resonance retrospective 3Tesla study.Neuroradiology · 2016Article
- Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future.Expert review of clinical immunology · 2015Review
- Microwave & magnetic (M2) proteomics reveals CNS-specific protein expression waves that precede clinical symptoms of experimental autoimmune encephalomyelitis.Scientific reports · 2014Article
- White matter abnormalities: Insights into the pathophysiology of major affective disorders.World journal of radiology · 2014Article
- ANALYSIS OF MULTIPLE SCLEROSIS LESIONS VIA SPATIALLY VARYING COEFFICIENTS.The annals of applied statistics · 2014Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Magnetic resonance imaging (MRI) has played a central role in the diagnosis and management of multiple sclerosis (MS). In addition, MRI metrics have become key supportive outcome measures to explore drug efficacy in clinical trials. Conventional MRI measures have contributed to the understanding of MS pathophysiology at the macroscopic level yet have failed to provide a complete picture of underlying MS pathology. They also show relatively weak relationships to clinical status such as predictive strength for clinical progression. Advanced quantitative MRI measures such as magnetization transfer, spectroscopy, diffusion imaging, and relaxometry techniques are somewhat more specific and sensitive for underlying pathology. These measures are particularly useful in revealing diffuse damage in cerebral white and gray matter and therefore may help resolve the dissociation between clinical and conventional MRI findings. In this article, we provide an overview of the array of tools available with brain and spinal cord MRI technology as it is applied to MS. We review the most recent data regarding the role of conventional and advanced MRI techniques in the assessment of MS. We focus on the most relevant pathologic and clinical correlation studies relevant to these measures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.